データ分析を活用したワクチン開発の加速
このウェビナーでは、ワクチンの発見と開発を加速するためのデータ分析の手法について説明します。これらの手法は、幅広いデータセットにわたって傾向と実用的な洞察を明らかにし、研究者や開発者がワクチン開発を加速し、効果的な治療法を特定する手がかりを探す際に直面する負担を軽減するように設計されています。
このウェビナーで取り上げる関連する方法とユースケースは次のとおりです。
- MODDE® と実験計画法(DOE)
- SIMCA® と多変量データ分析(MVDA)
このウェビナーは、研究開発に携わる人々や、ワクチンの発見と開発を加速する方法を模索する責任のあるリーダーを対象としています。
Key Learning Objectives
- Vaccine discovery and development can be accelerated using various data analytics tools.
- MODDE® DOE is a useful tool allowing users to understand the basics of experimental design and to achieve statistically optimal results from your experiments.
- SIMCA® MVDA is a flexible tool which extracts information from large data sets allowing users to gain more in-depth process understanding and ultimately improve the quality, safety and efficacy of a drug product.
- MVDA and DOE are needed to accomplish QbD in Biopharma, in that they provide the necessary framework and guidance for a risk‐based approach to drug development through better process understanding and control.
Meet Our Experts
Tiffany McLeod
Market Manager (Bio)pharma
Tiffany McLeod is the Biopharma Market Manager within the Sartorius Stedim Data Analytics marketing team. She has been employed by Sartorius since 2017. Within this function Tiffany acts as the teams’ subject matter expert for biopharma market trends and requirements. She also works to addresses and develop data analytics solutions to solve industry challenges and pain points. She is passionate about biopharma 4.0 and helping businesses pursue digital transformations. Tiffany holds a degree in Bioengineering and Bioinformatics from the University of California, San Diego.
Lennart Erikson
Senior Lecturer and Principal Data Scientist
Lennart Eriksson is a senior lecturer and data scientist and has worked with advanced data analytics for over three decades. Currently, he holds a position within the marketing team of Sartorius Stedim Data Analytics. His responsibilities relate to trainings, webinars, blogs and other marketing communications. Lennart has a PhD in Chemometrics and holds an associate professorship in Chemometrics at Umeå University. He has authored and co-authored over 100 publications on the applicability of design of experiments and multivariate data analysis in research, development and production. Lennart is a member of the editorial board of Journal of Chemometrics.